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                    <h1 class="menu-title">Rust 棒棒哒（资源大全中文版）</h1>

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                        <h1><a class="header" href="#rust-棒棒哒" id="rust-棒棒哒">Rust 棒棒哒</a></h1>
<p>Rust 资源大全中文版，<a href="https://rust-res.budshome.com">https://rust-res.budshome.com</a>。</p>
<p>亲爱的 <code>Rustaceans</code>，若您希望添加资源，请阅读<a href="#%E8%B5%84%E6%BA%90%E6%B7%BB%E5%8A%A0">资源添加</a>。</p>
<hr />
<ul>
<li><a href="#%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BDartificial-intelligence">人工智能（Artificial Intelligence）</a>
<ul>
<li><a href="#%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0deep-learning">深度学习（Deep Learning）</a></li>
<li><a href="#%E9%81%97%E4%BC%A0%E7%AE%97%E6%B3%95genetic-algorithms">遗传算法（Genetic Algorithms）</a></li>
<li><a href="#%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0machine-learning">机器学习（Machine Learning）</a></li>
</ul>
<!-- - [推荐算法（Recommender Algorithms）](#推荐算法recommender-algorithms) -->
</li>
<li><a href="#%E5%A4%A9%E6%96%87astronomy">天文（Astronomy）</a></li>
<li><a href="#%E5%BC%82%E6%AD%A5asynchronous">异步（Asynchronous）</a></li>
<li><a href="#%E9%9F%B3%E9%A2%91audio">音频（Audio）</a></li>
</ul>
<h2><a class="header" href="#人工智能artificial-intelligence" id="人工智能artificial-intelligence">人工智能（Artificial Intelligence）</a></h2>
<h3><a class="header" href="#深度学习deep-learning" id="深度学习deep-learning">深度学习（Deep Learning）</a></h3>
<p>[<a href="https://crates.io/keywords/deep-learning">深度学习（Deep Learning）- crates.io</a>]</p>
<h3><a class="header" href="#遗传算法genetic-algorithms" id="遗传算法genetic-algorithms">遗传算法（Genetic Algorithms）</a></h3>
<ul>
<li><a href="https://github.com/Martin1887/oxigen">Martin1887/oxigen</a> — 快速、并行、可扩展、适应性强的遗传算法库。使用此库例子可在几秒钟内解决n皇后问题（n-queens，n=255），且使用内存小于1MB。</li>
<li><a href="https://github.com/innoave/genevo">innoave/genevo</a> — 可定制、可扩展的遗传算法模拟器。</li>
<li><a href="https://github.com/willi-kappler/darwin-rs">willi-kappler/darwin-rs</a> — 进化算法库。</li>
<li><a href="https://github.com/m-decoster/RsGenetic">m-decoster/RsGenetic</a> — 遗传算法执行框架，具备模块化API。</li>
<li><a href="https://github.com/yurytsoy/revonet">yurytsoy/revonet</a> — 实数编码遗传算法库，解决优化问题及神经网络训练。</li>
</ul>
<h3><a class="header" href="#机器学习machine-learning" id="机器学习machine-learning">机器学习（Machine Learning）</a></h3>
<p>[<a href="https://crates.io/keywords/machine-learning">机器学习（Machine Learning） - crates.io</a>]</p>
<p>请参阅 - <a href="https://medium.com/@autumn_eng/about-rust-s-machine-learning-community-4cda5ec8a790#.hvkp56j3f">About Rust’s Machine Learning Community</a>。</p>
<ul>
<li><a href="https://github.com/AtheMathmo/rusty-machine">AtheMathmo/rusty-machine</a> — 机器学习库。<a href="https://travis-ci.org/AtheMathmo/rusty-machine"><img src="https://api.travis-ci.org/AtheMathmo/rusty-machine.svg?branch=master" alt="Build Status" /></a></li>
<li><a href="https://github.com/avinashshenoy97/RusticSOM">avinashshenoy97/RusticSOM</a> — 自组织映射神经网络， 即Self Organizing Maps (SOM)， 可以对数据进行无监督学习聚类。<a href="https://travis-ci.org/avinashshenoy97/RusticSOM"><img src="https://api.travis-ci.org/avinashshenoy97/RusticSOM.svg?branch=master" alt="Build Status" /></a></li>
<li><a href="https://github.com/spearow/juice">spearow/juice</a> - 黑客适用的机器学习引擎（以前称为<a href="https://github.com/autumnai/leaf">autumnai/leaf</a>）。</li>
<li><a href="https://github.com/tensorflow/rust">tensorflow/rust</a> — TensorFlow的Rust语言绑定。<a href="https://travis-ci.org/tensorflow/rust"><img src="https://api.travis-ci.org/tensorflow/rust.svg?branch=master" alt="Build Status" /></a></li>
<li><a href="https://github.com/maciejkula/rustlearn">maciejkula/rustlearn</a> — 机器学习库。<a href="https://circleci.com/gh/maciejkula/rustlearn"><img src="https://circleci.com/gh/maciejkula/rustlearn.svg?style=svg" alt="Circle CI" /></a></li>
<li><a href="https://github.com/LaurentMazare/tch-rs">LaurentMazare/tch-rs</a> — PyTorch的Rust语言绑定。 <a href="https://travis-ci.org/LaurentMazare/tch-rs"><img src="https://api.travis-ci.org/LaurentMazare/tch-rs.svg?branch=master" alt="Build Status" /></a></li>
</ul>
<h3><a class="header" href="#天文astronomy" id="天文astronomy">天文（Astronomy）</a></h3>
<p>[<a href="https://crates.io/keywords/astronomy">天文（Astronomy） - crates.io</a>]</p>
<ul>
<li><a href="https://github.com/saurvs/astro-rust">saurvs/astro-rust</a> — 天文计算库。<a href="https://travis-ci.org/saurvs/astro-rust"><img src="https://api.travis-ci.org/saurvs/astro-rust.svg?branch=master"></a></li>
<li><a href="https://crates.io/crates/fitsio">fitsio</a> — cfitsio接口封装库。<a href="https://travis-ci.org/mindriot101/rust-fitsio"><img src="https://api.travis-ci.org/mindriot101/rust-fitsio.svg?branch=master"></a></li>
<li><a href="https://github.com/flosse/rust-sun">flosse/rust-sun</a> — 计算太阳位置。<a href="https://travis-ci.org/flosse/rust-sun"><img src="https://api.travis-ci.org/flosse/rust-sun.svg?branch=master"></a></li>
</ul>
<h2><a class="header" href="#异步asynchronous" id="异步asynchronous">异步（Asynchronous）</a></h2>
<ul>
<li><a href="https://github.com/zonyitoo/coio-rs">zonyitoo/coio-rs</a> — 协程I/O库与工作窃取算法。<a href="https://travis-ci.org/zonyitoo/coio-rs"><img src="https://api.travis-ci.org/zonyitoo/coio-rs.svg?branch=master"></a></li>
<li><a href="https://github.com/dpc/mioco">dpc/mioco</a> — 可伸缩，基于协程的异步IO库。提供虚拟调度的绿色线程，类似Golang中的Goroutines，亦称纤程（fibers）。<a href="https://travis-ci.org/dpc/mioco"><img src="https://img.shields.io/travis/dpc/mioco/master.svg?style=flat-square" alt="Travis CI Build Status"></a></li>
<li><a href="https://github.com/TeaEntityLab/fpRust">TeaEntityLab/fpRust</a> — 为Rust提供面向函数范式编程特性，如：Monad/MonadIO, Handler, Coroutine/doNotation等。<a href="https://travis-ci.org/TeaEntityLab/fpRust"><img src="https://api.travis-ci.org/TeaEntityLab/fpRust.svg?branch=master" alt="Travis CI Build Status"></a></li>
<li><a href="https://github.com/rust-lang-nursery/futures-rs">rust-lang-nursery/futures-rs</a> — 零开销异步编程。<a href="https://travis-ci.org/rust-lang-nursery/futures-rs"><img src="https://api.travis-ci.org/rust-lang-nursery/futures-rs.svg?branch=master" alt="Travis CI Build Status"></a></li>
<li><a href="https://github.com/tokio-rs/mio">mio</a> — MIO是一个轻量级的异步I/O库，其重点是尽可能减少操作系统抽象的开销。<a href="https://travis-ci.org/tokio-rs/mio"><img src="https://api.travis-ci.org/tokio-rs/mio.svg?branch=master"></a></li>
<li><a href="https://github.com/Xudong-Huang/may">Xudong-Huang/may</a> — 高性能<code>Stackful</code>协程库，类似Golang中的Goroutines，可以很容易地用来设计和开发大并发程序。<a href="https://travis-ci.org/Xudong-Huang/may"><img src="https://api.travis-ci.org/Xudong-Huang/may.svg?branch=master"></a></li>
<li><a href="https://github.com/rustasync/runtime">rustasync/runtime</a> - 和<code>stdlib</code>无缝融合的异步API。<a href="https://crates.io/crates/runtime"><img src="https://img.shields.io/crates/v/runtime.svg?style=flat-square" alt="Crates.io" /></a> <a href="https://dev.azure.com/yoshuawuyts/rustasync/_build?definitionId=2"><img src="https://img.shields.io/azure-devops/build/yoshuawuyts/rustasync/2/master.svg?style=flat-square" alt="Build status" /></a></li>
</ul>
<h2><a class="header" href="#音频audio" id="音频audio">音频（Audio）</a></h2>
<p>[<a href="https://crates.io/keywords/audio">音频（Audio） - crates.io</a>]</p>
<ul>
<li><a href="https://github.com/indiscipline/zrtstr">indiscipline/zrtstr</a> — 命令行应用，用来检测wav音频文件。探测由音频编辑软件伪造的立体音，输出单声道音频等。<a href="https://travis-ci.org/indiscipline/zrtstr"><img src="https://api.travis-ci.org/indiscipline/zrtstr.svg?branch=master"></a></li>
<li><a href="https://github.com/GuillaumeGomez/rust-fmod">GuillaumeGomez/rust-fmod</a> — <a href="https://www.fmod.com">FMOD</a>的Rust语言绑定。<a href="https://travis-ci.org/GuillaumeGomez/rust-fmod"><img src="https://api.travis-ci.org/GuillaumeGomez/rust-fmod.svg?branch=master" alt="Build Status" /></a></li>
<li><a href="https://github.com/jhasse/ears">jhasse/ears</a> — 基于OpenAL和libsndfile音频处理库。<a href="https://travis-ci.org/jhasse/ears"><img src="https://api.travis-ci.org/jhasse/ears.svg?branch=master"></a></li>
<li><a href="https://github.com/jpernst/alto">jpernst/alto</a> — OpenAL-1.1及扩展（包括EFX）的Rust语言绑定。<a href="https://travis-ci.org/jpernst/alto"><img src="https://api.travis-ci.org/jpernst/alto.svg?branch=master"></a></li>
<li><a href="https://github.com/musitdev/portmidi-rs">musitdev/portmidi-rs</a> — <a href="http://portmedia.sourceforge.net/portmidi/">PortMidi</a> 的Rust语言绑定。<a href="https://travis-ci.org/musitdev/portmidi-rs"><img src="https://api.travis-ci.org/musitdev/portmidi-rs.svg?branch=master"></a></li>
<li><a href="https://crates.io/crates/hound">hound</a> — wav音频文件编码和解码库。<a href="https://travis-ci.org/ruuda/hound"><img src="https://api.travis-ci.org/ruuda/hound.svg?branch=master"></a></li>
<li><a href="https://github.com/tomaka/rodio">tomaka/rodio</a> — 音频播放库。<a href="https://travis-ci.org/tomaka/rodio"><img src="https://api.travis-ci.org/tomaka/rodio.svg?branch=master" alt="Build Status" /></a></li>
<li><a href="https://github.com/RustAudio/rust-portaudio">RustAudio/rust-portaudio</a> — <a href="http://www.portaudio.com/">PortAudio</a>的Rust语言绑定。<a href="https://travis-ci.org/RustAudio/rust-portaudio"><img src="https://api.travis-ci.org/RustAudio/rust-portaudio.svg?branch=master"></a></li>
</ul>
<h2><a class="header" href="#资源添加" id="资源添加">资源添加</a></h2>
<p><strong>资源添加的最简单方式是——</strong></p>
<ul>
<li>点击 <a href="https://github.com/zzy/awesome-rust-zh/edit/master/README.md">https://github.com/zzy/awesome-rust-zh/edit/master/README.md</a>；</li>
<li>编辑，然后按照GitHub的指导说明创建拉取请求。</li>
</ul>
<p><strong>如果希望在<code>README.md</code>中添加资源，请首先做如下考虑——</strong></p>
<ul>
<li>这个资源是否对<code>Rustaceans</code>有用？是否试用过？是否稳定？</li>
<li>请您在贡献资源时，使用模板：</li>
</ul>
<p><code>[username/repository_name](https://github.com/username/repository_name) [[repository_name](https://crates.io/crates/repository_name)] — DESCRIPTION [&lt;img src=&quot;https://api.travis-ci.org/username/repository_name.svg?branch=master&quot;&gt;](https://travis-ci.org/username/repository_name)</code></p>
<p><em>注：末尾的<code>svg</code>项可选。</em></p>
<h2><a class="header" href="#参考" id="参考">参考</a></h2>
<ul>
<li><a href="https://github.com/rust-unofficial/awesome-rust">awesome-rust</a></li>
</ul>

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